arrow
Return

A dual-task-assisted self-organizing map evolutionary algorithm for constraining multimodal multi-objective optimization

delete2026-01-05
delete0
PRE
AI
Z
Zongda Wu
K
Keli Hu
H
Huawen Liu
李国庆 cover
李国庆 (Guo‐Qing Li)
W
Wanliang Wang
DOI:10.1016/j.swevo.2025.102276delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• A dual-task-assisted framework is designed for constrained multimodal problems. • A self-organizing map network is constructed to learn the topology of the true PF. • The dynamic environment selection mechanism is innovatively proposed. • The adaptive pruning strategy is designed to balance the two spaces.
Keywords:
Constrained multimodal optimization
Evolutionary algorithm
Dual-task
Self-organizing map
Pruning strategy

Journal

Swarm and Evolutionary Computation cover
Swarm and Evolutionary Computation
IF:
8.5
Papers:
2.2K
Citations:
1.0W

Organization

S
Shaoxing University
Scholars:
537
Papers: 229
Citations: 0
Z
Zhejiang University of Technology
Scholars:
3.2K
Papers: 1.1K
Citations: 3.0W
N
Ningbo University
Scholars:
2.6W
Papers: 1.8W
Citations: 2.4W
researcher View more organizations